Usually each color represents a data layer in a color map, so the automated segmentation of scanned color map can be done using the color information.
彩色地图是用不同的颜色表示各个数据层，可以利用颜色信息有效地实现地图各个数据层的自动提取。
This paper presents that the segmentation of color map can not be fulfilled only by using color after analyzing the color errors in the scanned data.
在研究了彩色地图扫描数据中客观存在的颜色误差后，根据彩色地图颜色的变化规律，提出了一种快速分层算法。
And a set of features combining color, shape and topological are extracted from each object. Based on the features, a classification criterion is employed to perform the map segmentation.
通过提取对象的颜色、形状和近邻关系等特征，建立分类标准，实现地形图的自动分层。
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